Optimasi Desain Struktur Sandwich Carbon fiber–Balsa Menggunakan Pendekatan Regresi Linear dan Metode Elemen Hingga terhadap Nilai Deformasi

Abstrak

Carbon fiber–balsa sandwich structures are one of the leading solutions for developing lightweight and high-strength materials; however, optimizing geometric parameters and layer configurations remains a challenge in improving their mechanical performance. This study aims to optimize the design of carbon fiber–balsa sandwich structures to achieve high flexural stiffness with minimum deformation. The method used in this study integrates linear regression and the Finite Element Method (FEM) by applying variations in geometric dimensions (length, width, and height) of ±25% and ±50%, as well as variations in carbon fiber skin layer thickness. Validation results showed an error value below 5%, specifically 0.81%, indicating that the simulation results were accurate and acceptable. The results showed that the application of linear regression reduced the total deformation by 46%, from 0.31151 to 0.16899. In addition, increasing the number of layers significantly reduced deformation by 45% to 49%, from 0.16899 in the 1-layer model to 0.06592 in the 5-layer model. These findings indicate that geometric configuration and layer number have a significant influence on structural stiffness. Therefore, the integration of linear regression and FEM is effective for systematic optimization of sandwich structure design. Kata kunci: Deformation, FEM, linear regression, sandwich composite.

Kata kunci

• FEM
• Komposit sandwich
• Regresi Linear
• deformasi